Search Results for "phalcon php"
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Showing 3 open source projects for "phalcon php"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Phalcon
High performance, full-stack PHP framework delivered as a C extension
Its innovative architecture makes Phalcon the fastest PHP framework ever built! Developers do not need to know C to use Phalcon. Its functionality is exposed as PHP classes and interfaces under the Phalcon namespace, ready to be used. Zephir/C extensions are loaded together with PHP one time on the web server's daemon start process. Classes and functions provided by the extension are ready to use for any application. -
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Laravel Blade
Laravel's Blade templating engine for use outside of Laravel
The standalone version of Laravel's Blade templating engine for use outside of Laravel. Create a Blade instance by passing it the folder(s) where your view files are located, and a cache folder. Render a template by calling the make method. -
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Codeception
Full-stack testing PHP framework
...Tests are represented as a set of user's actions. Tests can be executed inside a PHP framework. This way web applications can be executed without web servers to run faster and access application internals. Symfony, Laravel, Zend Framework, Yii, Phalcon are supported. Connect to various data sources MySQL, PostgreSQL, MongoDB, Redis, Memcache to use their data inside tests. Take snapshots to compare data changes with previous runs.
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